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docs/en/docs/reference/responses.md
# Custom Response Classes - File, HTML, Redirect, Streaming, etc. There are several custom response classes you can use to create an instance and return them directly from your *path operations*. Read more about it in the [FastAPI docs for Custom Response - HTML, Stream, File, others](https://fastapi.tiangolo.com/advanced/custom-response/). You can import them directly from `fastapi.responses`: ```python from fastapi.responses import ( FileResponse,
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analysis/analysis-api-fir/src/org/jetbrains/kotlin/analysis/api/fir/components/KtFirSymbolContainingDeclarationProvider.kt
} is KtClassLikeSymbol -> { val outerClassId = symbol.classIdIfNonLocal?.outerClassId if (outerClassId != null) { // Won't work for local and top-level classes, or classes inside a script val outerFirClassifier = symbolFirSession.firProvider.getFirClassifierByFqName(outerClassId) ?: return null
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.cm/javadoc_on_new_files.cm
color: {{ colors.yellow }} - action: add-comment@v1 args: comment: | :warning: This PR creates new top-level Java classes, but has no Javadoc present. Please document all top-level classes with Javadoc. is: java: {{ files | extensions | match(term='java') | every }} new: {{ source.diff.files | map(attr='original_file') | match(regex=r/^$/) | some }} colors:
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docs/pt/docs/features.md
* Como as estruturas de dados do Pydantic são apenas instâncias de classes que você define, a auto completação, _linting_, _mypy_ e a sua intuição devem funcionar corretamente com seus dados validados. * Valida **estruturas complexas**:
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analysis/analysis-api-fir/src/org/jetbrains/kotlin/analysis/api/fir/diagnostics/KtFirDataClassConverters.kt
} add(FirErrors.NULLABLE_SUPERTYPE) { firDiagnostic -> NullableSupertypeImpl( firDiagnostic as KtPsiDiagnostic, token, ) } add(FirErrors.MANY_CLASSES_IN_SUPERTYPE_LIST) { firDiagnostic -> ManyClassesInSupertypeListImpl( firDiagnostic as KtPsiDiagnostic, token, ) }
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docs/fr/docs/index.md
Vous faites cela avec les types Python standard modernes. Vous n'avez pas à apprendre une nouvelle syntaxe, les méthodes ou les classes d'une bibliothèque spécifique, etc. Juste du **Python** standard. Par exemple, pour un `int`: ```Python item_id: int ``` ou pour un modèle `Item` plus complexe : ```Python
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README.md
### Recap In summary, you declare **once** the types of parameters, body, etc. as function parameters. You do that with standard modern Python types. You don't have to learn a new syntax, the methods or classes of a specific library, etc. Just standard **Python**. For example, for an `int`: ```Python item_id: int ``` or for a more complex `Item` model: ```Python item: Item ```
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docs/pt/docs/tutorial/path-params.md
### Criando uma classe `Enum` Importe `Enum` e crie uma sub-classe que herde de `str` e de `Enum`. Por herdar de `str` a documentação da API vai ser capaz de saber que os valores devem ser do tipo `string` e assim ser capaz de mostrar eles corretamente. Assim, crie atributos de classe com valores fixos, que serão os valores válidos disponíveis.
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CREDITS
comply. GNU LESSER GENERAL PUBLIC LICENSE Version 3, 29 June 2007 Copyright (C) 2007 Free Software Foundation, Inc. <http://fsf.org/> Everyone is permitted to copy and distribute verbatim copies of this license document, but changing it is not allowed. This version of the GNU Lesser General Public License incorporates
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docs/pt/docs/tutorial/first-steps.md
### Passo 1: importe `FastAPI` ```Python hl_lines="1" {!../../../docs_src/first_steps/tutorial001.py!} ``` `FastAPI` é uma classe Python que fornece todas as funcionalidades para sua API. !!! note "Detalhes técnicos" `FastAPI` é uma classe que herda diretamente de `Starlette`.
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